Metadata-Version: 2.1
Name: estimagic
Version: 0.3.0
Summary: Tools for the estimation of (structural) econometric models.
Home-page: https://github.com/OpenSourceEconomics/estimagic
Author: Janos Gabler
Author-email: janos.gabler@gmail.com
License: MIT
Keywords: econometrics,statistics,estimation,extremum estimation,optimization,inference,numerical differentiation,finite differences,richardson extrapolation,derivative free optimization,method of simulated moments,maximum likelihood
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.8
License-File: LICENSE


Estimagic is a Python package that helps to build high-quality and user
friendly implementations of (structural) econometric models.

It is designed with large structural models in mind. However, it is also
useful for any other estimator that numerically minimizes or maximizes a
criterion function (Extremum Estimator). Examples are maximum likelihood
estimation, generalized method of moments, method of simulated moments and
indirect inference.
